Socioeconomic status, white matter, and executive function in children
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[1] Paul A. Viola,et al. Multi-modal volume registration by maximization of mutual information , 1996, Medical Image Anal..
[2] Bruce D. McCandliss,et al. Development of attentional networks in childhood , 2004, Neuropsychologia.
[3] Kenneth Lange,et al. Enhancements to the ADMIXTURE algorithm for individual ancestry estimation , 2011, BMC Bioinformatics.
[4] Perminder S. Sachdev,et al. Microstructural White Matter Changes, Not Hippocampal Atrophy, Detect Early Amnestic Mild Cognitive Impairment , 2013, PloS one.
[5] T. Klingberg,et al. Combined analysis of DTI and fMRI data reveals a joint maturation of white and grey matter in a fronto-parietal network. , 2003, Brain research. Cognitive brain research.
[6] J. Huttenlocher,et al. Language input and child syntax , 2002, Cognitive Psychology.
[7] F. Agosta,et al. Cognitive Functions and White Matter Tract Damage in Amyotrophic Lateral Sclerosis: A Diffusion Tensor Tractography Study , 2011, American Journal of Neuroradiology.
[8] D. Tulsky,et al. V. NIH Toolbox Cognition Battery (CB): measuring working memory. , 2013, Monographs of the Society for Research in Child Development.
[9] Nikos Makris,et al. Attention and executive systems abnormalities in adults with childhood ADHD: A DT-MRI study of connections. , 2008, Cerebral cortex.
[10] Linda Chang,et al. The NIH Toolbox Cognition Battery: results from a large normative developmental sample (PING). , 2014, Neuropsychology.
[11] E. Crone,et al. Dissociation of response conflict, attentional selection, and expectancy with functional magnetic resonance imaging. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[12] Gary H. Glover,et al. A Developmental fMRI Study of the Stroop Color-Word Task , 2002, NeuroImage.
[13] M. Botvinick,et al. Conflict monitoring and cognitive control. , 2001, Psychological review.
[14] P. Zelazo,et al. IX. NIH Toolbox Cognition Battery (CB): summary, conclusions, and implications for cognitive development. , 2013, Monographs of the Society for Research in Child Development.
[15] M. Farah,et al. Childhood poverty: Specific associations with neurocognitive development , 2006, Brain Research.
[16] Bruce D. McCandliss,et al. Brain-behavior relationships in reading acquisition are modulated by socioeconomic factors. , 2006, Developmental science.
[17] A. McMichael,et al. Interactions between Environmental Lead Exposure and Sociodemographic Factors on Cognitive Development , 2000, Archives of environmental health.
[18] Stuart M Grieve,et al. Higher education is an age-independent predictor of white matter integrity and cognitive control in late adolescence. , 2013, Developmental science.
[19] V. Mcloyd,et al. Socioeconomic disadvantage and child development. , 1998, The American psychologist.
[20] Kimberly G. Noble,et al. Neurocognitive development in socioeconomic context: Multiple mechanisms and implications for measuring socioeconomic status. , 2016, Psychophysiology.
[21] Norbert Schuff,et al. Association of common genetic variants in GPCPD1 with scaling of visual cortical surface area in humans , 2012, Proceedings of the National Academy of Sciences.
[22] Bruce D. McCandliss,et al. Socioeconomic background modulates cognition-achievement relationships in reading. , 2006, Cognitive development.
[23] Jeffrey T Duda,et al. Associations between children's socioeconomic status and prefrontal cortical thickness. , 2013, Developmental science.
[24] Tong Zhu,et al. Effect of early institutionalization and foster care on long-term white matter development: a randomized clinical trial. , 2015, JAMA pediatrics.
[25] Derek K. Jones,et al. Occipito-temporal connections in the human brain. , 2003, Brain : a journal of neurology.
[26] Hugo D. Critchley,et al. Perigenual anterior cingulate morphology covaries with perceived social standing , 2007, Social cognitive and affective neuroscience.
[27] J. Swain,et al. Poverty and language development: roles of parenting and stress. , 2013, Innovations in clinical neuroscience.
[28] C. Blair,et al. School readiness. Integrating cognition and emotion in a neurobiological conceptualization of children's functioning at school entry. , 2002, The American psychologist.
[29] Susana Muñoz Maniega,et al. Coupled Changes in Brain White Matter Microstructure and Fluid Intelligence in Later Life , 2015, The Journal of Neuroscience.
[30] Theo G. M. van Erp,et al. Diffusion Tensor Imaging of the Superior Longitudinal Fasciculus and Working Memory in Recent-Onset Schizophrenia , 2008, Biological Psychiatry.
[31] P. Stoeter,et al. Association between cingulum bundle structure and cognitive performance: An observational study in major depression , 2010, European Psychiatry.
[32] D. Barch,et al. The effects of poverty on childhood brain development: the mediating effect of caregiving and stressful life events. , 2013, JAMA pediatrics.
[33] S. Rauch,et al. The counting stroop: An interference task specialized for functional neuroimaging—validation study with functional MRI , 1998, Human brain mapping.
[34] C. Liston,et al. Frontostriatal microstructure modulates efficient recruitment of cognitive control. , 2006, Cerebral cortex.
[35] N. Raz,et al. Aging white matter and cognition: Differential effects of regional variations in diffusion properties on memory, executive functions, and speed , 2009, Neuropsychologia.
[36] R. Mccall,et al. The Genetic and Environmental Origins of Learning Abilities and Disabilities in the Early School , 2007, Monographs of the Society for Research in Child Development.
[37] G. Winneke,et al. Neuropsychological effects of lead in children: interactions with social background variables. , 1984, Neuropsychobiology.
[38] Peter Stoeter,et al. Disturbed structural connectivity is related to inattention and impulsivity in adult attention deficit hyperactivity disorder , 2010, The European journal of neuroscience.
[39] Anders M. Dale,et al. White matter tracts associated with set-shifting in healthy aging , 2009, Neuropsychologia.
[40] J. Gabrieli,et al. Myelination and organization of the frontal white matter in children: a diffusion tensor MRI study. , 1999, Neuroreport.
[41] Selcuk R. Sirin. Socioeconomic Status and Academic Achievement: A Meta-Analytic Review of Research , 2005 .
[42] S. Pollak,et al. Association between Income and the Hippocampus , 2011, PloS one.
[43] P. Huttenlocher. Synaptic density in human frontal cortex - developmental changes and effects of aging. , 1979, Brain research.
[44] P. Harvey,et al. Blood lead, behaviour and intelligence test performance in preschool children. , 1984, The Science of the total environment.
[45] Rachael D. Seidler,et al. A simple solution for model comparison in bold imaging: the special case of reward prediction error and reward outcomes , 2013, Front. Neurosci..
[46] M. Fabiani,et al. Use it or lose it? SES mitigates age-related decline in a recency/recognition task , 2008, Neurobiology of Aging.
[47] Anne Fernald,et al. Talking to Children Matters , 2013, Psychological science.
[48] T. Combs-Orme,et al. Poverty and the Daily Lives of Infants , 2006 .
[49] P. DeRosse,et al. Age-Related Differences in White Matter Tract Microstructure Are Associated with Cognitive Performance from Childhood to Adulthood , 2014, Biological Psychiatry.
[50] Rebecca J. Panagos. Meaningful Differences in the Everyday Experience of Young American Children , 1998 .
[51] C. Waternaux,et al. Low-level lead exposure, social class, and infant development. , 1988, Neurotoxicology and teratology.
[52] Suzanne E. Welcome,et al. Longitudinal Mapping of Cortical Thickness and Brain Growth in Normal Children , 2022 .
[53] Pratik Mukherjee,et al. Structural dissociation of attentional control and memory in adults with and without mild traumatic brain injury. , 2008, Brain : a journal of neurology.
[54] Thomas R. Barrick,et al. White matter pathways associated with working memory in normal aging , 2010, Cortex.
[55] John H. Gilmore,et al. Correction: Family Poverty Affects the Rate of Human Infant Brain Growth , 2015, PloS one.
[56] Conor Liston,et al. Atypical Prefrontal Connectivity in Attention-Deficit/Hyperactivity Disorder: Pathway to Disease or Pathological End Point? , 2011, Biological Psychiatry.
[57] P. Basser,et al. MR diffusion tensor spectroscopy and imaging. , 1994, Biophysical journal.
[58] Paul M. Thompson,et al. Genetics of white matter development: A DTI study of 705 twins and their siblings aged 12 to 29 , 2011, NeuroImage.
[59] A. Hariri,et al. Parental education predicts corticostriatal functionality in adulthood. , 2011, Cerebral cortex.
[60] Ricardo Tarrasch,et al. White matter correlates of cognitive domains in normal aging with diffusion tensor imaging , 2013, Front. Neurosci..
[61] P. Basser,et al. Diffusion tensor MR imaging of the human brain. , 1996, Radiology.
[62] S. Suter. Meaningful differences in the everyday experience of young American children , 2005, European Journal of Pediatrics.
[63] J. Giedd. Structural Magnetic Resonance Imaging of the Adolescent Brain , 2004, Annals of the New York Academy of Sciences.
[64] Kristopher J Preacher,et al. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models , 2008, Behavior research methods.
[65] Michael Willoughby,et al. Salivary cortisol mediates effects of poverty and parenting on executive functions in early childhood. , 2011, Child development.
[66] Bruce D. McCandliss,et al. Socioeconomic gradients predict individual differences in neurocognitive abilities. , 2007, Developmental science.
[67] F. Perera,et al. Developmental effects of exposure to environmental tobacco smoke and material hardship among inner-city children. , 2004, Neurotoxicology and teratology.
[68] N. Fox,et al. Variation in neural development as a result of exposure to institutionalization early in childhood , 2012, Proceedings of the National Academy of Sciences.
[69] G. Evans. The environment of childhood poverty. , 2004, The American psychologist.
[70] Suzanne E. Welcome,et al. Mapping cortical change across the human life span , 2003, Nature Neuroscience.
[71] S. Kumra. DISRUPTION OF WHITE MATTER INTEGRITY IN THE INFERIOR LONGITUDINAL FASCICULUS IN ADOLESCENTS WITH SCHIZOPHRENIA AS REVEALED BY FIBER TRACTOGRAPHY , 2008, Schizophrenia Research.
[72] Kimberly G. Noble,et al. Socioeconomic status and structural brain development , 2014, Front. Neurosci..
[73] K. Miller. Executive functions. , 2005, Pediatric annals.
[74] Dongrong Xu,et al. Correction of eddy‐current distortions in diffusion tensor images using the known directions and strengths of diffusion gradients , 2006, Journal of magnetic resonance imaging : JMRI.
[75] M. Sheridan,et al. Family Socioeconomic Status and Child Executive Functions: The Roles of Language, Home Environment, and Single Parenthood , 2010, Journal of the International Neuropsychological Society.
[76] V. Iragui,et al. Integration of multimodal MRI data via PCA to explain language performance , 2014, NeuroImage: Clinical.
[77] Yaakov Stern,et al. Cognitive Reserve: Implications for Assessment and Intervention , 2013, Folia Phoniatrica et Logopaedica.
[78] C. Jack,et al. Diffusion tensor imaging and cognitive function in older adults with no dementia , 2011, Neurology.
[79] John C Gore,et al. Neural systems for compensation and persistence: young adult outcome of childhood reading disability , 2003, Biological Psychiatry.
[80] Tal Kenet,et al. The Pediatric Imaging, Neurocognition, and Genetics (PING) Data Repository , 2016, NeuroImage.
[81] K. Matthews,et al. Potential neural embedding of parental social standing. , 2008, Social cognitive and affective neuroscience.
[82] G. Evans,et al. The Role of Chaos in Poverty and Children's Socioemotional Adjustment , 2005, Psychological science.
[83] Jon Skranes,et al. White matter abnormalities and executive function in children with very low birth weight , 2009, Neuroreport.
[84] Adam M. Brickman,et al. Hippocampal volume varies with educational attainment across the life-span , 2012, Front. Hum. Neurosci..
[85] Kelvin O. Lim,et al. White-Matter Integrity Predicts Stroop Performance in Patients with Geriatric Depression , 2007, Biological Psychiatry.
[86] Olaf B. Paulson,et al. White Matter Microstructure in Superior Longitudinal Fasciculus Associated with Spatial Working Memory Performance in Children , 2011, Journal of Cognitive Neuroscience.
[87] Eric Kan,et al. Neural correlates of socioeconomic status in the developing human brain. , 2012, Developmental science.
[88] Anders M. Dale,et al. Automated white‐matter tractography using a probabilistic diffusion tensor atlas: Application to temporal lobe epilepsy , 2009, Human brain mapping.
[89] W. Thomas Boyce,et al. The Impact of Social Disparity on Prefrontal Function in Childhood , 2012, PloS one.
[90] E. Hoff. The specificity of environmental influence: socioeconomic status affects early vocabulary development via maternal speech. , 2003, Child development.
[91] Irene E. Nagel,et al. Microstructure of frontoparietal connections predicts cortical responsivity and working memory performance. , 2011, Cerebral cortex.
[92] Thomas F. Nugent,et al. Dynamic mapping of human cortical development during childhood through early adulthood. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[93] John A. Sweeney,et al. Diffusion Tensor Imaging Study of White Matter Fiber Tracts in Pediatric Bipolar Disorder and Attention-Deficit/Hyperactivity Disorder , 2009, Biological Psychiatry.
[94] Franck Ramus,et al. The Influence of Socioeconomic Status on Children’s Brain Structure , 2012, PloS one.
[95] Anders M. Dale,et al. Reliability in multi-site structural MRI studies: Effects of gradient non-linearity correction on phantom and human data , 2006, NeuroImage.
[96] Andrew N. Meltzoff,et al. Socioeconomic status predicts hemispheric specialisation of the left inferior frontal gyrus in young children , 2008, NeuroImage.
[97] N. Adler,et al. The Role of Psychosocial Processes in Explaining the Gradient Between Socioeconomic Status and Health , 2003 .
[98] B. J. Casey,et al. Family Income, Parental Education and Brain Structure in Children and Adolescents , 2015, Nature Neuroscience.
[99] Anders M. Dale,et al. Efficient correction of inhomogeneous static magnetic field-induced distortion in Echo Planar Imaging , 2010, NeuroImage.
[100] Yasuyuki Taki,et al. Brain structures associated with executive functions during everyday events in a non-clinical sample , 2012, Brain Structure and Function.
[101] Vijay K. Venkatraman,et al. Multimodal imaging of the self-regulating developing brain , 2012, Proceedings of the National Academy of Sciences.